Ai-Enhanced Technology Jobs

786,411 open positions · Updated daily

AI-Enhanced Technology roles are at the forefront of digital transformation, fueling autonomous vehicles, personalized medicine, and real‑time analytics. Demand surges as enterprises adopt generative AI, multimodal models, and AI‑driven edge solutions to reduce latency and boost customer experience. The convergence of cloud-native infrastructure, container orchestration, and AI frameworks creates new opportunities for engineers and data scientists to build scalable, high‑performance systems that deliver measurable ROI within weeks of deployment.

Within the AI‑Enhanced Tech spectrum, you’ll find roles such as Machine Learning Engineer, Data Scientist, MLOps Engineer, AI Product Manager, Edge AI Developer, and AI Solutions Architect. Responsibilities range from designing and training transformer models in TensorFlow or PyTorch, to building reproducible pipelines with Airflow and MLflow, to deploying models into Kubernetes clusters on AWS SageMaker or Azure ML. Edge AI developers optimize inference on NVIDIA Jetson or Qualcomm AI SDKs, while AI product managers translate business goals into AI feature roadmaps and measure impact through A/B testing.

Salary transparency matters more than ever in AI‑Enhanced Tech. With compensation tied to market demand, equity, and specialized skill sets, clear salary ranges help professionals negotiate fair pay, evaluate opportunities across companies, and understand the true value of their expertise. Transparent data also drives diversity by reducing hidden pay gaps and empowers teams to benchmark against industry standards, fostering a healthier, more inclusive AI ecosystem.

[2026 Internship] Security Specialist-SOC 보안관제 및 침해사고 대응

Company: IBM

Location: Seoul, KR

Posted Dec 09, 2025

The text describes an IBM Consulting internship offering opportunities to work with cutting-edge technologies, collaborate with global teams, and gain skills for career growth. It highlights roles in cybersecurity, project participation, and professional development through mentorship and training programs.

Product Manager - IBM Storage

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM's infrastructure solutions and job opportunities, emphasizing innovation, collaboration, and growth. It highlights roles involving market research, product strategy, and teamwork, while outlining required skills and a supportive work environment.

Integration Architect

Company: IBM

Location: Vilnius, LT

Posted Dec 09, 2025

This text describes a role at IBM Consulting Client Innovation Center focusing on hybrid cloud and AI solutions. It outlines responsibilities like leading proof-of-concept projects, collaborating with cross-functional teams, and developing technical expertise. The job requires skills in cloud platforms, integration patterns, and containerization technologies, with opportunities for innovation and professional growth.

Manager – Record to Report (R2R)

Company: IBM

Location: BANGALORE, IN

Posted Dec 09, 2025

This text describes a Manager R2R role at IBM Consulting, emphasizing financial accounting expertise, month-end close processes, ERP systems, and process improvement initiatives. It highlights collaboration with clients, professional growth opportunities, and the importance of analytical skills in a dynamic work environment.

SAP S/4HANA Service Package Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

This job description outlines a SAP consultant role at IBM Consulting, requiring expertise in SAP Enterprise Asset Management and Supply Chain Management, with emphasis on end-to-end project experience, technical skills, and strong communication abilities. The position highlights collaboration, leadership, and problem-solving in delivering successful client outcomes.

Benchmarking Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text promotes IBM's Data Platform as a leading hybrid AI and data solution for enterprises, emphasizing its role in driving a paradigm shift in productivity. It describes a job opportunity for skilled engineers to contribute to benchmarking and development of cutting-edge technologies, highlighting both technical expertise and strategic collaboration requirements.

Quality Engineer-Functional

Company: IBM

Location: Hyderabad, IN

Posted Dec 09, 2025

The text describes a job role involving testing and quality assurance in IBM's delivery centers, with responsibilities including test case development, collaboration with stakeholders, and technical expertise in areas like API testing and Agile methodologies. It outlines required and preferred qualifications, emphasizing hands-on experience with tools and systems.

Industry Consultant-Banking

Company: IBM

Location: Mumbai, IN

Posted Dec 09, 2025

This job description outlines a role at IBM Consulting's Client Innovation Centers, requiring expertise in banking/financial services, Agile methodologies, and technical skills. It specifies educational qualifications, experience in core banking processes, and knowledge of data protection practices. The position emphasizes leadership, communication, and structured software development environments.

Senior Software Engineer - Infinispan/Data Grid (Java Distributed In Memory Database)

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

The text describes a career opportunity at IBM Software, emphasizing innovation, growth, and collaboration on cutting-edge AI-powered cloud-native solutions. It highlights the role of a Senior Software Engineer in developing high-quality software, working with distributed systems, and contributing to open-source projects like Infinispan. The position requires expertise in Java, distributed systems, and open-source methodologies, with a focus on enterprise-grade solutions and community engagement.

IBM Internship Data Engineer - Python

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM's internship program offers opportunities to work on real-world data projects, gain hands-on experience with industry tools, and collaborate with experts in data engineering and AI. The role involves ETL development, data quality assurance, and cross-functional teamwork, with a focus on innovation and professional growth.

Competitive Strategist

Company: IBM

Location: Multiple Cities

Posted Dec 09, 2025

IBM seeks a Competitive Strategist to analyze market trends and guide product strategy for their data platform, requiring research skills and industry knowledge.

Digital Technical Specialist - Power & Public Cloud for Italian Market

Company: IBM

Location: Valencia, ES

Posted Dec 09, 2025

The role of a Digital Sales Technical Specialist at IBM involves collaborative technical expertise, client engagement, and career growth in a supportive environment. Responsibilities include acting as a Power expert, providing technical sales support, and positioning IBM's solutions against competition. The position emphasizes professional development, cross-team collaboration, and building a personal brand through trusted advisory roles.

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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